DocumentCode
830
Title
Optimal ESS Allocation and Load Shedding for Improving Distribution System Reliability
Author
Awad, Ahmed S. A. ; EL-Fouly, Tarek H. M. ; Salama, Magdy M. A.
Author_Institution
Electr. & Comput. Eng. Dept., Univ. of Waterloo, Waterloo, ON, Canada
Volume
5
Issue
5
fYear
2014
fDate
Sept. 2014
Firstpage
2339
Lastpage
2349
Abstract
The recent deployment of distributed generation has led to a revolution in the use of distribution systems and the emergence of smart-grid concepts. Smart grids are intended primarily as a means of facilitating the integration of renewable energy sources and of achieving greater system reliability and efficiency. Energy storage systems offer a number of benefits that can help utilities move toward those goals. One of those benefits is the capacity to improve system reliability through successful islanding operation. This paper proposes a methodology for the cost-effective improvement of system reliability through the allocation of distributed storage units in distribution systems. The costs of energy storage installation are optimized with respect to reliability value expressed as customers´ willingness to pay in order to avoid power interruptions. The primary goal of this research was thus to determine the optimal combination of storage units to be installed and the loads to be shed so that all possible contingencies can be effectively addressed. A probabilistic approach is therefore adopted that includes consideration of the stochastic nature of system components.
Keywords
distributed power generation; energy storage; load shedding; power distribution reliability; stochastic processes; Distribution System Reliability; Load Shedding; distributed generation; distributed storage units; energy storage systems; islanding operation; optimal ESS allocation; renewable energy sources; smart grid; Energy storage; Indexes; Load modeling; Planning; Power system reliability; Probabilistic logic; Reliability; Distributed generation; energy storage systems; islanding; load shedding; smart grid; willingness to pay;
fLanguage
English
Journal_Title
Smart Grid, IEEE Transactions on
Publisher
ieee
ISSN
1949-3053
Type
jour
DOI
10.1109/TSG.2014.2316197
Filename
6813652
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